Computational aesthetics in dystopian visualization: an integrated approach using python programming and adobe photoshop's generative features.
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| Title: | Computational aesthetics in dystopian visualization: an integrated approach using python programming and adobe photoshop's generative features. |
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| Authors: | Bebek, Ozan1 oznbbk@gmail.com, Kırboğa, Kevser Kübra1 kubra.kirboga@yahoo.com, Coşar, Mehmet1 mehmetcosars@gmail.com |
| Source: | Journal for the Interdisciplinary Art & Education (JIAE). Autumn2025, Vol. 6 Issue 3, p211-224. 14p. |
| Subject Terms: | *Visualization, *Computer art, Python programming language, Aesthetics of art |
| Reviews & Products: | Adobe Photoshop (Computer software) |
| People: | Haraway, Donna Jeanne 1944-, Baudrillard, Jean, 1929-2007 |
| Abstract: | This study aims to investigate how fundamental geometric shapes and digital tools can be integrated to create visually compelling representations of dystopian and post-apocalyptic themes, focusing on expanding the boundaries of digital art by combining traditional artistic practices with algorithmic design methods. Using Python programming and Adobe Photoshop's "Generative Image" feature (Beta version 25.11), five fundamental geometric shapes were generated and transformed into thematic visualizations through a two-phase methodological approach. Initially, the shapes were designed using Python's Matplotlib and NumPy libraries and programmed with algorithms containing random variables, establishing the foundation of structured randomness and algorithmic patterns controlled by the artist. Subsequently, these base shapes were enhanced and restructured through Photoshop's advanced generative tools, guided by specific thematic keywords such as "dystopian pattern," "post-apocalyptic scenario," and "hopelessness," resulting in a total of fifteen visuals comprising three variations for each geometric shape. The findings highlight the effective integration of basic design principles with advanced generative technologies, resulting in visually striking artworks that encapsulate dystopian aesthetics while effectively reflecting themes of isolation, decay, and technological domination through elements such as chaotic urban landscapes, fragmented architectures, and alien world terrains. This research contributes to existing work in algorithmic design and digital visualization while being associated with theoretical frameworks such as Jean Baudrillard's concept of hyperreality, Donna Haraway's union of human-machine-nature, and Walter Benjamin's critiques of modern urban life, demonstrating that generative art functions not only as an aesthetic tool but also as a platform for social and philosophical criticism, illustrating how art evolves into new narrative forms in the digital age and suggesting its capacity to expand artistic boundaries and redefine modes of expression [ABSTRACT FROM AUTHOR] |
| Copyright of Journal for the Interdisciplinary Art & Education (JIAE) is the property of Journal for the Interdisciplinary Art & Education (JIAE) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 188648576 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Computational aesthetics in dystopian visualization: an integrated approach using python programming and adobe photoshop's generative features. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bebek%2C+Ozan%22">Bebek, Ozan</searchLink><relatesTo>1</relatesTo><i> oznbbk@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kırboğa%2C+Kevser+Kübra%22">Kırboğa, Kevser Kübra</searchLink><relatesTo>1</relatesTo><i> kubra.kirboga@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Coşar%2C+Mehmet%22">Coşar, Mehmet</searchLink><relatesTo>1</relatesTo><i> mehmetcosars@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+for+the+Interdisciplinary+Art+%26+Education+%28JIAE%29%22">Journal for the Interdisciplinary Art & Education (JIAE)</searchLink>. Autumn2025, Vol. 6 Issue 3, p211-224. 14p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Visualization%22">Visualization</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+art%22">Computer art</searchLink><br /><searchLink fieldCode="DE" term="%22Python+programming+language%22">Python programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Aesthetics+of+art%22">Aesthetics of art</searchLink> – Name: SubjectProduct Label: Reviews & Products Group: Su Data: <searchLink fieldCode="PS" term="%22Adobe+Photoshop+%28Computer+software%29%22">Adobe Photoshop (Computer software)</searchLink> – Name: SubjectPerson Label: People Group: Su Data: <searchLink fieldCode="PE" term="%22Haraway%2C+Donna+Jeanne+1944-%22">Haraway, Donna Jeanne 1944-</searchLink><br /><searchLink fieldCode="PE" term="%22Baudrillard%2C+Jean%2C+1929-2007%22">Baudrillard, Jean, 1929-2007</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study aims to investigate how fundamental geometric shapes and digital tools can be integrated to create visually compelling representations of dystopian and post-apocalyptic themes, focusing on expanding the boundaries of digital art by combining traditional artistic practices with algorithmic design methods. Using Python programming and Adobe Photoshop's "Generative Image" feature (Beta version 25.11), five fundamental geometric shapes were generated and transformed into thematic visualizations through a two-phase methodological approach. Initially, the shapes were designed using Python's Matplotlib and NumPy libraries and programmed with algorithms containing random variables, establishing the foundation of structured randomness and algorithmic patterns controlled by the artist. Subsequently, these base shapes were enhanced and restructured through Photoshop's advanced generative tools, guided by specific thematic keywords such as "dystopian pattern," "post-apocalyptic scenario," and "hopelessness," resulting in a total of fifteen visuals comprising three variations for each geometric shape. The findings highlight the effective integration of basic design principles with advanced generative technologies, resulting in visually striking artworks that encapsulate dystopian aesthetics while effectively reflecting themes of isolation, decay, and technological domination through elements such as chaotic urban landscapes, fragmented architectures, and alien world terrains. This research contributes to existing work in algorithmic design and digital visualization while being associated with theoretical frameworks such as Jean Baudrillard's concept of hyperreality, Donna Haraway's union of human-machine-nature, and Walter Benjamin's critiques of modern urban life, demonstrating that generative art functions not only as an aesthetic tool but also as a platform for social and philosophical criticism, illustrating how art evolves into new narrative forms in the digital age and suggesting its capacity to expand artistic boundaries and redefine modes of expression [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal for the Interdisciplinary Art & Education (JIAE) is the property of Journal for the Interdisciplinary Art & Education (JIAE) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5281/zenodo.15971532 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 211 Subjects: – SubjectFull: Visualization Type: general – SubjectFull: Computer art Type: general – SubjectFull: Python programming language Type: general – SubjectFull: Aesthetics of art Type: general – SubjectFull: Adobe Photoshop (Computer software) Type: general – SubjectFull: Haraway, Donna Jeanne 1944- Type: general – SubjectFull: Baudrillard, Jean, 1929-2007 Type: general Titles: – TitleFull: Computational aesthetics in dystopian visualization: an integrated approach using python programming and adobe photoshop's generative features. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bebek, Ozan – PersonEntity: Name: NameFull: Kırboğa, Kevser Kübra – PersonEntity: Name: NameFull: Coşar, Mehmet IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Autumn2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 27178870 Numbering: – Type: volume Value: 6 – Type: issue Value: 3 Titles: – TitleFull: Journal for the Interdisciplinary Art & Education (JIAE) Type: main |
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